Development of a Continuous Flow Synthesis of Ezogabine: Process Optimization and Scale-Up
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ezogabine, a positive allosteric modulator of KCNQ2–5 used to treat epilepsy, was synthesized by a continuous flow hydrogenation process optimized to reduce the overall process and manufacturing mass intensity (PMI/MMI) of the corresponding batch scale procedure. The long reaction time observed in batch mode was streamlined via application of flow chemistry to less than 2 s in 2-MeTHF using Raney-Ni in a Phoenix Flow Reactor system. The continuous flow hydrogenation afforded ezogabine with 99.5% purity by HPLC with significantly reduced PMI (26) and equipment turnover time, thus providing the opportunity for substantial cost reductions relative to batch processing and greater alignment with green chemistry principles.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it